Jack Hidary

Jack Hidary Jack Hidary (born 1967/1968) is the CEO of AI and quantum technology company SandboxAQ.

Hidary has collaborated with MIT on a series of papers focused on AI and deep learning. In particular, the papers address the ability of deep learning networks to generalize to cases beyond the training data. Hidary is also the author of ''Quantum Computing: An Applied Approach'', in its second edition and published by Springer. Provided by Wikipedia
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  1. 1
    Classical generalization bounds are surprisingly tight for Deep Networks

    Classical generalization bounds are surprisingly tight for Deep Networks by Liao, Qianli, Miranda, Brando, Hidary, Jack, Poggio, Tomaso

    Published 2018
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    Technical Report
  2. 2
    Theory IIIb: Generalization in Deep Networks

    Theory IIIb: Generalization in Deep Networks by Poggio, Tomaso, Liao, Qianli, Miranda, Brando, Burbanski, Andrzej, Hidary, Jack

    Published 2018
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    Technical Report
  3. 3
    Theory of Deep Learning III: explaining the non-overfitting puzzle

    Theory of Deep Learning III: explaining the non-overfitting puzzle by Poggio, Tomaso, Kawaguchi, Kenji, Liao, Qianli, Miranda, Brando, Rosasco, Lorenzo, Boix, Xavier, Hidary, Jack, Mhaskar, Hrushikesh

    Published 2018
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    Technical Report

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